Chap2 steps into the palace of R language

Chap2 Step in R The palace of language

2.1 R Language learning ideas

Personally, I am a statistics major , I was also right in my study last semester SAS and SPSS And some statistical software have been studied and understood , From my own experience, I think the learning of statistical software also follows ‘ This rule ’, That is, we should spend 80% of our time and energy on consolidating our mathematical foundation and statistical discipline ability , And the remaining 20% is used to learn some functions of statistical software （ Like the use of function packages balabala On these things ）.

Share with you some of my thoughts about participating in the Asia Pacific mathematical modeling competition last semester , In the process of dealing with practical problems , In fact, I think of some practical solutions to the problem first , These contents are the fundamental driving force and driving force guiding you forward , The emergence of these ideas requires you to have a strong foundation of mathematical logic and a professional background in Statistics .

For example, there is a problem that requires you to plan the location and number of ecological reserves , Then I think more of using cluster analysis and discriminant analysis to make a corresponding division of different geographical locations , Then determine the location and quantity , These ideas were largely influenced by the course of multivariate statistical analysis I was studying at that time . In fact, I was not very clear about the software implementation of many analysis methods at that time , But the omnipotent Internet , As long as you input, for example “SAS How to do discriminant analysis ” It will pop up a lot of experience posts for you , In fact, most of the code inside can achieve your goal with a little modification , Of course, part of the content involves some sophisticated algorithms , So you also need to be familiar with some expansion packages of related software , Mastering these is enough to get twice the result with half the effort .

So in the later learning process , I will share with you first R Some basic grammar of language , For example, how to input and output , There are also some basic functional grammars such as drawing , Then I want to introduce the software implementation process of these methods in modules according to the common methods to solve a practical statistical problem , For example, how to perform least square regression , How to carry out ridge regression , How to carry out time series analysis and other forms to share with you . I haven't thought about the specific content very clearly , Learn, adjust and share ！